About Me
A graduate engineer from the Department of Artificial Intelligence at the Faculty of Computers and Artificial Intelligence, Cairo University, I have a strong interest in the field of Data Science and extensive experience in working with and handling data. My passion lies in extracting valuable insights from data using advanced analytics and machine learning techniques to drive practical results. I am eager to contribute to projects involving data-related tasks and help achieve defined objectives.
- Name: Youssef Hatem
- Age: 22
- Occupation: Data Science engineer
Experienced and results-driven Data Scientist Engineer with a proven track record of leveraging advanced analytics and engineering techniques to extract insights and drive business outcomes.My expertise lies in machine learning, statistical analysis, and data visualization, and I possess a strong foundation in software engineering principles.I am proficient in Python, SQL, Power BI, and various other data-related tools. My technical skills are complemented by strong soft skills, including problem-solving, critical thinking, and leadership. I am fluent in Arabic and have advanced proficiency in English.
Services
Predictive Modeling and Machine Learning
They build models to forecast trends and behaviors, applying algorithms for classification, regression, and clustering. These models optimize marketing strategies and operational efficiency. Predictive insights help personalize user experiences.
Natural Language Processing (NLP)
They develop models for text classification, sentiment analysis, and topic modeling. NLP solutions extract valuable information from textual data. They also build chatbots to enhance customer interactions.
Deep Learning
Specializing in neural networks, they train models for image recognition, speech processing, and language understanding. Using frameworks like TensorFlow, they push AI capabilities. These models drive innovation across industries.
Data Cleaning and Preprocessing
Experts in transforming raw data, freelance data scientists handle missing values, outliers, and inconsistencies. They ensure data quality through feature engineering. This foundational work enables accurate and reliable analysis.
Data Visualization
Creating compelling visualizations, they use tools like Tableau and Power BI to translate complex data into intuitive graphics. Interactive dashboards and charts aid strategic decision-making. Visualizations help stakeholders grasp key metrics quickly.
QA
Ensuring quality through rigorous testing methodologies and tools, they verify software functionality and performance. QA processes enhance product reliability and user satisfaction.
Portfolio
Skin Disease Application
The project aims to create a mobile app that diagnoses skin diseases through user-uploaded images, utilizing a classification model to provide diagnoses and relevant information.
Interactive Sales & Profit Dashboard
I created an interactive Power BI dashboard for analyzing sales and profits with dynamic visualizations by category, region.
Real-time COVID-19 Dashboard
The "Real-time COVID-19 Dashboard" tracks global COVID-19 statistics with intuitive visualizations for informed decision-making.
Employee Data Analysis Project
The project analyzes employee data by region, evaluates performance, and creates a report on gender distribution using Excel.
Customer Churn Prediction
This project predicts bank customer churn using factors like credit score and balance, providing insights to help banks improve retention strategies, I used Python and Streamlit you can see this project in Github account.
Customer Churn Prediction
This project implements a complete machine learning pipeline to predict bank customer churn. The model is deployed on Streamlit and offers actionable insights to enhance customer retention strategies.